Added talipp

This commit is contained in:
Wilson Freitas
2024-04-04 06:00:23 -03:00
parent 0f197a7ce1
commit 4b80bd1c06
2 changed files with 2 additions and 0 deletions
+1
View File
@@ -72,6 +72,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [finta](https://github.com/peerchemist/finta) - Common financial technical analysis indicators implemented in Pandas.
- [Tulipy](https://github.com/cirla/tulipy) - Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators))
- [lppls](https://github.com/Boulder-Investment-Technologies/lppls) - A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.
- [talipp](https://github.com/nardew/talipp) - Incremental technical analysis library for Python.
### Trading & Backtesting
- [skfolio](https://github.com/skfolio/skfolio) - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.
+1
View File
@@ -63,6 +63,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [finta](https://github.com/peerchemist/finta) - Common financial technical analysis indicators implemented in Pandas.
- [Tulipy](https://github.com/cirla/tulipy) - Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators))
- [lppls](https://github.com/Boulder-Investment-Technologies/lppls) - A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.
- [talipp](https://github.com/nardew/talipp) - Incremental technical analysis library for Python.
### Trading & Backtesting
- [skfolio](https://github.com/skfolio/skfolio) - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.